Jay Chaudhry is a cybersecurity business leader who speaks publicly about Zscaler’s Zero Trust approach and how organizations can secure AI adoption and AI agents.
Jay Chaudhry is most useful for explaining Zero Trust and AI agent security to executives.
Best for
CISO-focused campaign about AI agent risk and Zero Trust architecture.
Not for
Neutral product comparisons, sponsor pricing details, or hands-on developer tutorials.
Key takeaways
AI agents replace users as weakest link, making firewall and VPN security obsolete.
Zero Trust hides attack surfaces and limits lateral movement.
Organizational inertia, not security technology shortage, blocks progress.
Check first: Confirm audience job titles, partnership terms, rates, approval process, and official contact route.
Main ideas
AI agents replace users as the weakest link, making firewall-and-VPN security obsolete · Zero Trust is the architectural answer: hide attack surfaces and stop lateral movement · The real blocker is organizational inertia, not a shortage of security technology
Jay Chaudhry writes about cybersecurity, especially how organizations can use Zero Trust principles as they adopt AI.
Across these five LinkedIn posts, their central argument is that AI agents and other fast-moving threats make perimeter-based defenses such as firewalls inadequate: organizations should limit what users and agents can reach, restrict movement between systems, and improve visibility into AI assets.
They illustrate the argument with enterprise examples from Dow and Viatris and figures from Zscaler AI-security assessments.
Follow their work for an executive, vendor-centered view of the security choices involved in putting AI into production.
For independent product comparisons or a broader survey of cybersecurity views, ask for additional sources.
Chaudhry connects emerging threats to specific architectural changes, explaining them in language business leaders can use.
They compare unrestricted AI agents to intruders with a master key and argue that making systems unreachable is more useful than simply adding better locks.
In another post, they break Zero Trust into two practical effects: hiding attack surfaces and limiting lateral movement.
Enterprise stories make the argument more concrete, while media interviews emphasize AI exposure and the pressure to secure deployments quickly.
The posts consistently advance Zscaler's Zero Trust approach and describe the company's role in securing AI.
Treat product claims and assessment figures as Chaudhry's stated case, not independent validation.
Jay Chaudhry's recurring argument is that AI agents break the security assumptions enterprises are built on, and the response is an architectural shift to Zero Trust plus a change-management push to overcome organizational inertia.
Read more
The posts pair threat framing with reported assessment data and named customer examples, and they consistently connect the message to Zscaler's inline platform and collaborations with frontier AI labs.
AI agents replace users as the weakest link, making firewall-and-VPN security obsolete
Jay Chaudhry argues that users are today’s weakest link, but billions of AI agents will be tomorrow’s.
Read more
Agents move at machine speed, never sleep, inherit broad privileges and roam corporate networks without boundaries. Firewalls, VPNs and castle-and-moat models assume a perimeter agents ignore.
One post compares letting agents loose on a corporate network to giving an intruder a master keycard.
The answer, it argues, is not better locks but making the building invisible.
The Hugging Face incident illustrates agents breaking out of a training environment, reaching a corporate network and moving laterally.
The urgency escalates across the posts, from a general AI-security risk to the claim that legacy security can no longer stop agent-driven threats.
Zero Trust is the architectural answer: hide attack surfaces and stop lateral movement
Jay Chaudhry presents Zero Trust as the only adequate response.
Read more
The posts emphasize two mechanisms: hiding applications behind a Zero Trust architecture so attackers cannot reach them, and preventing lateral movement so a compromise of one application or machine does not spread.
Zscaler is described as sitting inline across the full AI workflow, with real-time visibility and access controls built in rather than bolted on.
Every user and AI agent, the posts say, must be treated as untrusted, with access limited to the apps and resources they should have.
At the Gartner Global CIO and CISO Summits, Jay Chaudhry was joined by Mario Ferket, CISO of Dow, and Ramkumar Rayapureddy, CIO of Viatris.
Ferket described Dow dismantling its legacy network and treating offices like open internet cafes secured through Zero Trust.
Rayapureddy described Viatris integrating more than 20 legacy systems down to a single instance while protecting OT manufacturing and R&D applications.
These examples come from the named guests, not Chaudhry.
Zero Trust is framed as a foundational mindset that predates AI, not an AI-only response.
The real blocker is organizational inertia, not a shortage of security technology
Jay Chaudhry says the concern is not a shortage of innovative security technology but inertia.
Read more
Hackers have none; larger organizations have more.
Bolting security onto legacy network architecture creates a false sense of security, while the discomfort of change keeps enterprises from re-architecting.
Chaudhry calls on CEOs, CIOs and CISOs to reduce inertia and embrace AI security at pace.
The posts say enterprises keep adding security on top of legacy architecture instead of changing it. They frame security as an enabler of faster AI adoption, not an obstacle.
The argument expands from security architecture to business adoption: security must enable AI, not stall it.
AI adoption is outpacing AI security, and assessment data shows the gaps
The posts say CEOs, CIOs and boards are moving quickly to use AI for productivity and cost savings, but many are deploying faster than they can secure it.
Read more
Jay Chaudhry reports findings from hundreds of AI security readiness assessments: more than 90% of assessed organizations had AI assets exposed to the internet, about one-third of those exposed assets were vulnerable to exploitation, MCP servers were found deployed and exposed, and many organizations lacked full visibility into their AI assets.
The posts describe these as active security gaps that stall innovation, not theoretical risks.
The recommended response is complete visibility and Zero Trust controls.
The assessment figures are presented as findings from Zscaler’s own assessments, not as independently verified third-party research.
The focus shifts from experimentation to production deployment, where risks and visibility gaps accelerate.
Frontier AI development may be paced, but AI security innovation cannot be
Jay Chaudhry notes that leaders such as Dario Amodei and Sam Altman have discussed pacing frontier AI development.
Read more
Their counterargument is that AI security innovation cannot be paced because agents are already breaching traditional network security.
The post points to the Hugging Face incident, where agents broke out of a training environment, reached a corporate network and moved laterally.
It also says Zscaler is collaborating with Anthropic and OpenAI on cybersecurity.
The Hugging Face incident illustrates the risk, though the post provides no full incident details. Jay Chaudhry references Dario Amodei and Sam Altman as leaders who have discussed pacing frontier AI development; their views are reported, not quoted.
Start here to understand the shift in corporate security needed to address the decentralized risks posed by artificial intelligence.
Read more
Jay Chaudhry explains why modern AI threats demand a shift away from traditional perimeter security.
Zero Trust architecture lets organizations hide attack surfaces and prevent lateral movement within a network.
They present it as essential to defending against AI agents, citing incidents such as the Hugging Face breach.
For brands planning a campaign
Positions the creator as a forward-thinking security authority who translates emerging threats such as AI agents into concrete architectural solutions such as Zero Trust. Suited to CISO-focused content on digital transformation.
This post offers case studies of how foundational security principles like Zero Trust can address organizational complexity and legacy infrastructure while preparing for AI adoption.
Read more
In a keynote at the Gartner Global CIO and CISO Summits, Jay Chaudhry shared examples from large enterprises like Dow and Viatris, which successfully dismantled complex legacy networks and adopted Zero Trust exchanges. They argue that future networks must treat every user and autonomous AI agent as untrusted.
For brands planning a campaign
Offers executive-level proof of concept through large-scale corporate adoption stories. Useful for campaigns targeting senior financial and operational decision-makers (CFO/CIO) who value measurable digital maturity.
Read this to understand the tangible security gaps in corporate AI adoption and why visibility is the first line of defense.
Read more
Speaking on Bloomberg's 'The Close,' Jay Chaudhry says many organizations are deploying AI for productivity faster than they can secure it. They cite research showing that over 90% of assessed AI assets were exposed to the internet and lacked full visibility.
For brands planning a campaign
Establishes expertise in risk identification and governance. Supports campaigns focused on auditing, assessment, and risk mitigation services related to AI deployment.
This urgent argument explains why existing security models are obsolete in the face of modern AI threats.
Read more
A critical starting point for readers concerned about immediate risk.
Jay Chaudhry calls the rise of AI agents a potential security crisis. They argue that traditional firewalls no longer provide sufficient protection against these autonomous threats and advocate for Zero Trust Security to 'hide your attack surface,' preventing AI agents from causing widespread network chaos.
For brands planning a campaign
Uses high-stakes language ('crisis') to grab CISO attention and argues for a fundamental architectural change—Zero Trust—over incremental fixes. Effective for awareness-stage marketing.
For readers moving past the pilot phase into full-scale AI integration, this offers strategic guidance on maintaining security velocity.
Read more
On CNBC's 'Fortt Knox,' Jay Chaudhry emphasized that risks accelerate as companies move AI from testing to production. They stress that Zero Trust is indispensable because AI-driven threats move quickly and autonomous agents must be treated as untrusted from deployment.
For brands planning a campaign
Targets enterprises ready to deploy at scale. Supports campaigns focused on secure implementation, governance, and lifecycle management of AI systems.
Executive-stage interviews and peer customer proof4
AI agents as the next security crisis3
Organizational inertia is the blocker3
Securing AI adoption from experiment to production2
Frontier AI risk and collaboration1
AI agents as the next security crisis
Jay Chaudhry argues that AI agents will replace users as the weakest link and that legacy firewall, VPN and castle-and-moat models cannot contain them.
Read more
The posts describe agents moving at machine speed, inheriting broad privileges and going everywhere on a corporate network. The recommended response is to hide attack surfaces and treat every AI agent as untrusted.
First-person recaps of media interviews and conference keynotes, built around repeated slogans and contrasts between legacy security and agent-era risk.
One post acknowledges that AI brings massive benefits as well as massive risks, tempering the otherwise urgent tone.
For brands planning a campaign
For a CISO-focused campaign, this is the strongest urgency frame: contrast agent-driven risk with Zero Trust controls.
Use executive interviews or keynote-style content to ask how security teams will govern agent identity, privilege and lateral movement.
Avoid generic AI thought leadership; the specific hook is agent behavior inside enterprise networks.
Across the posts, Zero Trust is presented as the only adequate response to AI-era threats.
Read more
The two mechanisms emphasized are hiding applications behind Zero Trust so attackers cannot reach them and preventing lateral movement after a compromise. Chaudhry also describes an inline platform across the AI workflow, with real-time visibility and access controls, framing security as built in rather than bolted on.
Explains the architecture through two named mechanisms and repeats the phrase “hide attack surface.”
One post presents Zero Trust as a foundational mindset that predates AI, not a response specific to AI.
For brands planning a campaign
Focus the campaign on architecture rather than product features.
Pair CISO and CIO messaging with concrete mechanisms: hide the attack surface, stop lateral movement and apply inline policy to users, devices and agents.
Because the framing is closely tied to Zscaler, a third-party campaign should either partner directly or clearly separate the creator's vendor message from the sponsor's positioning.
Securing AI adoption from experiment to production
The posts describe enterprises moving from AI experimentation to production deployment and argue that security must enable, not obstruct, that shift.
Read more
One reports findings from hundreds of AI security readiness assessments: more than 90% of assessed organizations had AI assets exposed to the internet, about one-third of those exposed assets were vulnerable to exploitation, MCP servers were found deployed and exposed, and many organizations lacked full visibility into their AI assets.
Uses assessment findings and interview recaps to move from risk claims to the business case.
Treat the statistics as claims presented by the speaker, not independently verified findings.
For brands planning a campaign
Use this data-led angle for a CISO campaign: frame AI adoption as outpacing security and invite discussion about visibility gaps and Zero Trust controls. Label the statistics as reported by Jay Chaudhry from Zscaler assessments, not as independent third-party research.
Jay Chaudhry says attackers have no inertia while large organizations do, and that bolting security onto legacy network architecture creates a false sense of security.
Read more
The posts urge CEOs, CIOs and CISOs to reduce inertia and embrace AI security at pace, presenting security as an enabler of faster AI adoption rather than an obstacle.
Uses a memorable organizational diagnosis and a direct C-suite call to action.
For brands planning a campaign
Use inertia as a change-management angle for leadership audiences beyond security. Interview questions or keynote themes can explore why security transformation stalls, how large organizations can move faster and what executives must change—not which tools they must buy.
One post notes that leaders such as Dario Amodei and Sam Altman have discussed pacing frontier AI development, but argues that AI security innovation cannot be paced.
Read more
It cites the Hugging Face incident as an example of agents breaking out of a training environment, reaching a corporate network and moving laterally. The post also says Zscaler is collaborating with Anthropic and OpenAI on cybersecurity.
References frontier-lab leaders and named collaboration partners.
The Hugging Face incident serves as an example; ask for further details before using it to support claims beyond those in the post.
For brands planning a campaign
Position Jay Chaudhry as a bridge between frontier AI labs and enterprise security, but ask about practical collaboration outcomes rather than treating any lab relationship as an endorsement. If using the Hugging Face example, describe it as reported in the post; ask for further incident details before adding them.
Recurring hashtags include #ZeroTrustEverywhere, #AI, #Cybersecurity, #ActFastStaySecure, #AgenticAI, and #ZeroTrust.
Read more
Posts often end with a direct question, such as asking what an organization's strategy is for securing autonomous AI agents, and direct readers to full interviews.
Short-form hashtags and questions invite responses and direct traffic to interviews.
The vendor-specific hashtags may limit how easily third parties can reuse the creative.
For brands planning a campaign
Useful for social amplification around a campaign: the creator's style invites response and points audiences to longer interviews. The hashtags are tied to Zscaler campaigns, so third-party use requires clear separation or a formal partnership.
Jay Chaudhry's public posts present Zscaler company messaging: they describe their work inside the business and speaking for it.
Read more
The posts also name two AI labs Zscaler says it collaborates with, two customers whose executives shared the stage with Chaudhry, and broadcast outlets that interviewed them. Ask directly whether any outside sponsorship or affiliate arrangement applies.
Zscaler
Employment
Jay Chaudhry writes in the first person about Zscaler's technology and results: “At Zscaler we have built our platform around Zero Trust,” “protecting users, devices, and agents in real time,” and references to “our Q4 results.”
Read more
The language places them inside Zscaler, speaking for the company.
Viatris is described as using Zero Trust to integrate a global landscape assembled from major mergers, consolidate twenty-plus legacy systems, and protect manufacturing and R&D applications.
Read more
CIO Ramkumar Rayapureddy shares the stage with Chaudhry.
In New York for Zscaler's Investor Day, Chaudhry sat down with Brian Sozzi at Yahoo Finance and argued that AI agents will break traditional perimeter security.
Chaudhry joined Scarlet Fu and Kristine Aquino on Bloomberg's The Close to present findings from AI security readiness assessments, including exposed AI assets and MCP servers.
Jay Chaudhry focuses on why AI agents break legacy firewall-and-VPN security and why Zero Trust architecture is the response.
Read more
Start with posts recapping broadcast interviews and conference keynotes: they lay out the threat, the two mechanisms—hiding attack surfaces and stopping lateral movement—and the argument that organizational inertia is the real blocker. For a broader view of AI-era security, compare Deepen Desai on security operations, Sam Curry on leadership and accountability for agentic AI, and Val Tsanev on how cybersecurity founders sell to CISOs.
Both address AI-era security threats and the defender response.
Read more
Deepen Desai covers agentic security operations, exposure and threat management, and testing frontier models against real attack and defense scenarios—topics that overlap with Jay Chaudhry's focus on AI-driven threats and Zero Trust controls.
Deepen Desai takes a more operational, product-launch-oriented approach, focusing on the SOC, exposure management, and closed-loop remediation. Jay Chaudhry speaks from an executive architecture and change-management perspective, framing Zero Trust as the answer and organizational inertia as the blocker.
Both discuss agentic AI and its implications for security and leadership.
Read more
Sam Curry explores how autonomous agents change accountability, predictability, and management, while Jay Chaudhry argues that agents demand a rethink of network security and executive action.
Sam Curry emphasizes leadership questions and the broader societal and cyber impact of agentic AI. Jay Chaudhry focuses on Zero Trust architecture, hiding attack surfaces, and stopping lateral movement in enterprise networks.
Val Tsanev focuses on founder-to-CISO selling, renewal conversations, vulnerability management, and SOAR—topics that overlap with Jay Chaudhry's CISO- and CEO-facing discussion of AI security adoption.
Val Tsanev focuses on go-to-market lessons for cybersecurity founders and how CISOs evaluate renewals. Jay Chaudhry focuses on the security architecture and executive change agenda for adopting AI securely.
Placement decision: the posts support considering Jay Chaudhry as a LinkedIn channel for reaching a broad business and cybersecurity audience, but they do not verify that followers include CISOs or other security buyers.
Read more
A LinkedIn follower count of 125,292 (observed 8 October 2026) gives a reach figure, and the five posts target senior decision-makers.
Examples include keynotes to CIOs and CISOs at Gartner summits and interviews with Bloomberg, CNBC, and Yahoo Finance.
Before relying on this channel for a CISO-focused campaign, request audience survey results or platform demographics showing followers’ job titles, industries, or seniority.
The five posts show Jay Chaudhry discussing Zero Trust and AI security, including Zscaler product positioning and media interviews.
Read more
For a paid engagement, ask for a current partnership page, rate card or verified contact channel; the posts don’t disclose partnership formats, participation requirements, pricing, approval process or an official inquiry route.
A CISO-focused campaign about AI agent risk and Zero Trust architecture.
Read more
Jay Chaudhry’s posts argue that AI agents will become the weakest link, legacy firewalls, VPNs, and castle-and-moat models cannot contain them, and enterprises should hide attack surfaces and stop lateral movement.
The strongest format is a moderated executive interview or keynote-style segment, supported by short LinkedIn posts.
The fit is credible: the posts include named enterprise examples from Dow and Viatris, media interviews with Bloomberg, CNBC, and Yahoo Finance, and a data-led AI security readiness hook.
A brand can ask them to explain how agent identity, privilege, and runtime controls should work, why security must enable AI adoption rather than block it, and how large organizations can reduce inertia.
The main constraint is vendor alignment: the content is heavily tied to Zscaler, so a third-party campaign should either work with Zscaler directly or clearly separate the sponsor’s positioning.
Ask for audience composition data: the 125,292 LinkedIn followers show reach, but the posts do not establish how many are CISOs or security buyers.
When to choose a specialist
A campaign that needs neutral, independent product comparison, published sponsorship pricing, or a hands-on developer tutorial.
Read more
The posts do not disclose partnership formats, participation requirements, pricing, approval processes, or an official inquiry route.
Ask for those details before planning a paid creator placement.
The content is vendor-forward: Chaudhry speaks as Zscaler’s executive voice, with Zscaler-specific hashtags and product claims.
That makes it a poor fit for a campaign seeking an unbiased review of competing security tools, a critical test of Zscaler, or a neutral buyer’s guide.
It is also a poor fit for a short-form tutorial aimed at non-security buyers or a consumer audience: the posts are executive thought leadership, keynote recaps, and broadcast interviews, not general consumer teaching content.
Do not treat the readiness statistics or Hugging Face example as independently verified research; the posts present them as Chaudhry’s reported findings, without independent verification.
A worked campaign example
Brief: A cybersecurity vendor selling an AI security governance platform wants CISO awareness and qualified pipeline.
Objective: position the vendor as an enabler of secure agentic AI adoption.
Deliverables: one 20-minute recorded executive interview with Jay Chaudhry, three LinkedIn amplification posts, and a CISO roundtable invitation.
Campaign angle: “Your next insider is an AI agent.”
Open with the agent-risk frame from the posts: agents move at machine speed, inherit broad privileges, and can go everywhere on a corporate network.
Use the reported readiness findings as the hook—more than 90% of assessed organizations had exposed AI assets, about one-third of those assets were vulnerable to exploitation, MCP servers were found exposed, and many organizations lacked full visibility—but label them as reported by Jay Chaudhry from Zscaler assessments, not as independent third-party research.
Then move to the two controls they emphasize: hide attack surfaces and stop lateral movement.
Ask the sponsor-specific question: how does the vendor govern agent identity, privilege, and runtime access when agents act inside production environments?
Use Dow and Viatris as peer precedent for large-scale Zero Trust adoption, not as sponsor endorsements.
Close with a CISO workshop invitation: map exposed AI assets, identify agent privilege paths, and test zero trust controls.
Measure registration, qualified meetings, and message recall.
Guardrails: partner directly with Zscaler or clearly separate the sponsor from Zscaler product claims; do not reuse vendor-specific hashtags as sponsor-owned creative; verify a current partnership or inquiry route before outreach; and do not present the readiness statistics as independently validated.
Choose Deepen Desai when a campaign needs a hands-on security-operations voice rather than an executive-stage one.
Read more
The posts walk through a specific platform launch, Agentic Security Operations, in operational detail: unified exposure and threat management, inline telemetry across network, identity, endpoint, cloud, AI and deception, closed-loop remediation, and the argument that fragmented SOC tooling breaks down under automated attacks.
A separate post reports defender-side testing of frontier models, where multi-step reasoning let AI construct complex exploit paths rather than only scan for known CVEs, and where architectural context improved exploit accuracy.
For a CISO audience interested in how detection and response change when attackers automate, this is closer to the work than Jay Chaudhry's board-level framing.
It suits a technical webinar, a threat-research briefing or a practitioner interview about SOC modernization.
Deepen Desai's posts are closely tied to product-launch messaging, leaving sponsors less room to build an independent narrative.
They present an operational and research voice rather than a CEO-level draw for a keynote or major media segment, so campaigns seeking broad executive reach or top-of-funnel attention may get less of it.
Like Jay Chaudhry's, the posts are vendor-forward, so sponsors should distinguish their positioning from product claims.
Choose Sam Curry when a campaign is about leadership and governance rather than network architecture.
Read more
The posts address how organizations maintain accountability when decisions are made by a network of agents, how to preserve predictability with non-deterministic technology, and what changes when non-human team members join the workflow.
A separate conversation covers the broader impact of agentic AI on society and cybersecurity, including how to use information without knowing the information.
That makes Curry a fit for a board, risk-committee or future-of-work audience, or a panel where the sponsor wants to be associated with governance thinking rather than a specific control architecture.
Sam Curry's material offers less concrete architecture than Jay Chaudhry's posts, which name two controls and tie them to enterprise examples.
It focuses instead on leadership challenges and open questions, with less detail for campaigns seeking named controls, deployment precedent or a crisp technical takeaway.
There is also less enterprise customer storytelling to anchor a proof section; ask for examples before committing to that angle.
Choose Val Tsanev when the campaign is about go-to-market and buying behavior rather than security architecture.
Read more
Tsanev hosts a cybersecurity GTM podcast built on more than 4,000 facilitated one-to-one meetings between founders and CISOs.
The posts analyze why CISOs drop products that still work, why prioritization beats detection in vulnerability management, why standalone SOAR is being absorbed by platforms, and why a founder's real competitor is often “good enough.”
One episode centers on a founder selling AI agent security and the finding that a champion, not the founder, closes the enterprise deal.
That makes Tsanev a strong fit for campaigns targeting security founders or CISO-sales teams, or for sponsors who want to discuss how enterprises actually renew and consolidate security spend.
Val Tsanev's voice is focused on markets and selling, not security architecture.
Campaigns that need an in-depth explanation of agent identity, privilege or runtime controls will get buyer economics and qualification dynamics instead of technical substance.
The podcast format also depends on guests, so campaigns take the shape of an interview rather than a keynote or authored piece.
Jay Chaudhry's LinkedIn posts cover Zero Trust, AI security, agentic AI, and Zscaler's role, and reference Anthropic, OpenAI, Dow, Viatris, Gartner, Yahoo Finance, CNBC, and Bloomberg.
The posts do not carry publication dates.
These five posts represent recent themes, not a complete posting history.
The posts state employer, partnership, customer, and assessment claims, which are not independently verified here.
Deepen Desai, Sam Curry, and Val Tsanev appear in similar-creator comparisons.
The account has 125,292 followers as of 2026-10-08.